. 4 25 012 23 01 1 14 0 1 0 0 0 1 0 2 3 C3 -3 -4 P2 0 Problem 2. In the tableau for the maximization problem below, the values of the six constants Q1, 22, 23, B1.P1, P2 are unknown (assume there are no artificial variables): Basis 12 13 14 26 constants B -1 -5 0 -1 16 0 CR row P1 0 State restrictions on the six unknowns (Q1,012, 03, B1.P1, P2) which would make the following statements true about the given tableau: 1. The current solution is optimal but alternate optimum exists. 2. The current solution is infeasible. (State which variable). 3. One of the constraints is inconsistent. 4. The current solution is a degenerate basic feasible solution. (Which variable causes degeneracy?) 5. The current solution is feasible but the problem has no finite optimum. 6. The current solution is the unique optimum solution. 7. The current solution is feasible but the objective can be improved by replacing 26 by 21. What will be the total change in the objective function value after the pivot? . 4 25 012 23 01 1 14 0 1 0 0 0 1 0 2 3 C3 -3 -4 P2 0 Problem 2. In the tableau for the maximization problem below, the values of the six constants Q1, 22, 23, B1.P1, P2 are unknown (assume there are no artificial variables): Basis 12 13 14 26 constants B -1 -5 0 -1 16 0 CR row P1 0 State restrictions on the six unknowns (Q1,012, 03, B1.P1, P2) which would make the following statements true about the given tableau: 1. The current solution is optimal but alternate optimum exists. 2. The current solution is infeasible. (State which variable). 3. One of the constraints is inconsistent. 4. The current solution is a degenerate basic feasible solution. (Which variable causes degeneracy?) 5. The current solution is feasible but the problem has no finite optimum. 6. The current solution is the unique optimum solution. 7. The current solution is feasible but the objective can be improved by replacing 26 by 21. What will be the total change in the objective function value after the pivot